SDM11: Accepted Tutorials
Data Mining for Healthcare Management [PDF, 5.3MB]
Prasanna Desikan, Allina Hospitals & Clinics
Jaideep Srivastava, University of Minnesota
Kuo-Wei Hsu, National Chengchi University, Taipei, Taiwan
Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data [PDF, 2MB]
Emmanuel Muller, Stephan Gunnemann, Ines Farber and Thomas Seidl, RWTH Aachen University and Karlsruhe Institute of Technology
Exploiting Statistical and Relational Information on the Web and in Social Media [PDF, 3MB]
Lise Getoor and Lilyana Mihalkova, University of Maryland, College Park
Temporal Pattern Mining in Symbolic Time Point and Time Interval Data [PDF, 540KB]
Fabian Moerchen, Siemens Corporate Research
Visualization and Data Mining for High Dimensional Datasets [PDF, 4MB]
Alfred Inselberg, Tel Aviv University
SDM 2011: Call For Tutorials
The SIAM Data Mining (SDM11) Organizing Committee invites proposals for tutorials to be held in conjunction with the conference. Tutorials are an effective way to educate and/or provide the necessary background to the intended audience enabling them to understand technical advances.
For SDM11, we are seeking proposals for tutorials on all topics related to data mining. A tutorial may be a theme-oriented comprehensive survey, discuss novel data mining techniques or may center around successful and timely application of data mining in important application areas (e.g. medicine, national security, scientific data analysis). For examples of typical SIAM tutorials, see the set of accepted tutorials at previous SIAM conferences SDM08 , SDM09 and SDM10.
Tutorials are open to all conference attendees without any extra fees. The typical tutorial will be 2 hrs long (longer tutorials will be considered). Previous SDM conferences attracted up to 100 attendees in a tutorial.
Proposals should be submitted electronically by October 15, 2010 to:
Department of Computer Science
George Mason University
Proposals should be submitted in PDF format (for other formats please contact the tutorial chair first). Proposals should include the following:
- Basic information: Title, brief description, name and contact information for each tutor, length of the proposed tutorial. If the intended tutorial is expected to take longer than 2 hours a rationale is expected. Also identify any other venues in which the tutorial has been or will be presented.
- Audience: Proposals must clearly identify the intended audience for the tutorial (e.g., novice, intermediate, expert).
- What background will be required of the audience?
- Why is this topic important/interesting to the SIAM data mining community?
- What is the benefit to participants?
- Provide some informal evidence that people would attend (e.g., related workshops).
- Coverage: Enough material should be included to provide a sense of both the scope of material to be covered and the depth to which it will be covered. The more details that can be provided, the better (up to and including links to the actual slides or viewgraphs). Note that the tutors should not focus mainly on their own research results. If, for certain parts of the tutorial, the material comes directly from the tutors' own research or product, please indicate this clearly in the proposal.
- Biographies: Provide brief biographical information on each tutor (including qualifications with respect to the tutorial's topic).
- Special equipment (if any): Please indicate any additional equipment needed (if any). The standard equipment includes an LCD projector and single projection screen.
- Submission : October 15, 2010
- Decision Notification : November 10, 2010
- Complete Set of Tutorial Viewgraphs (Slides): February 16, 2011